End of training

README.md

@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3248
-- F1: 0.5983
-- Roc Auc: 0.7277
-- Accuracy: 0.4931
+- Loss: 0.3225
+- F1: 0.6026
+- Roc Auc: 0.7302
+- Accuracy: 0.4977
 
 ## Model description
 
@@ -45,13 +45,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
-| 0.3401        | 1.0   | 73895 | 0.3248          | 0.5983 | 0.7277  | 0.4931   |
+| Training Loss | Epoch | Step   | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|:--------:|
+| 0.3397        | 1.0   | 73895  | 0.3244          | 0.5931 | 0.7238  | 0.4826   |
+| 0.337         | 2.0   | 147790 | 0.3232          | 0.5987 | 0.7277  | 0.4925   |
+| 0.3448        | 3.0   | 221685 | 0.3225          | 0.6026 | 0.7302  | 0.4977   |
 
 
 ### Framework versions

runs/Jul14_06-27-35_33affe2bb4d6/events.out.tfevents.1720938457.33affe2bb4d6.34.0

@@ -1,3 +1,3 @@
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+size 101614

runs/Jul14_06-27-35_33affe2bb4d6/events.out.tfevents.1720948956.33affe2bb4d6.34.1

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